Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BISSEGGER Stefan | 78 |
2 | MANZIN Lorrenzo | 69 |
3 | MALDONADO Anthony | 57 |
4 | VALLÉE Boris | 79 |
5 | GESBERT Élie | 63 |
6 | ROUX Anthony | 73 |
7 | SIMON Julien | 65 |
8 | TULIK Angélo | 64 |
9 | WÜRTZ SCHMIDT Mads | 70 |
10 | FRANZ Marcel | 62 |
11 | OLDANI Stefano | 65 |
12 | MAYRHOFER Marius | 70 |
13 | FEILLU Romain | 62 |
14 | LEDANOIS Kévin | 67 |
15 | SOUPE Geoffrey | 70 |